Research On Bio-inspired Manufacturing System Scheduling Technique Inspired By Neuro Endocrine-immune Regulatory Mechanism

With the development of the social economy,the market competition is increasing and the market shows the characteristics of globalization,dynamic and customer-driven.In the current environment,modern manufacturing systems are full of uncertainties,and accompanied by continuous changes and unpredictable tasks and events.Thus,how to quickly and effectively deal with the various uncertainties in the dynamic manufacturing environment are key issues in modern manufacturing systems.Meanwhile,it is an urgent problem that how to find reasonable and effective regulation models and scheduling technology of manufacturing system with adaptability and self-organization characteristics.Under this background and inspired by neuroendocrine immune mechanism,the regulation model of the bio-inspired manufacturing system(BIMS)is proposed and the scheduling technology is investigated.The main research work is as follows:1? Regulation models of BIMS are established.Firstly,the biology background of BIMS is introduced in details.Then,according to the analogy between manufacturing system and human body system,the structure and functions of bio-inspired manufacturing cell(BIMC)are designed.Besides,the architecture of BIMS is constructed and the functions for different levels of BIMC in the architecture are analyzed.Finally,three types of regulation models of BIMS are presented based on neuroendocrine immune regulation mechanism.2? A dynamic shop floor scheduling technique based on neuroendocrine regulation mechanism is studied.Firstly,on the basis of analyzing neuroendocrine regulation mechanism,the dynamic shop floor scheduling model for BIMS is proposed.Secondly,by using negative feedback regulation model of hormone-regulation,the task and resource allocation mechanism of BIMS is constructed.In addition,the influences of cost,delivery time and loading rate are considered in dynamic scheduling process.Aiming at handling dynamic events,the regulation processes of dynamic scheduling in BIMS are analyzed in details,and concrete implementation steps are introduced.Finally,the experimental results prove that the proposed method can improve performances,and enhance the stability of a manufacturing system.3? A hormone regulation based approach for on-line and simultaneous scheduling of machines and AGVs is investigated.Firstly,based on the principle of hormone diffusion and reaction in endocrine system,online and simultaneous scheduling model of machines and AGVs for BIMS is proposed.Secondly,according to synergism and antagonism rules between hormones,the quasi-hormone secretion mechanism between machines and AGVs is expressed with formulations,and on this basis,task allocation mechanism is built.Then,aiming at the assignment for transportation tasks,the concrete implement steps are presented.Finally,the experimental results demonstrate the advantage of the proposed method in solving this type of scheduling problems.4? A neuroendocrine-immune regulation based technique for disturbance handling in BIMS is studied.Firstly,on the basis of analyzing mutual regulation mechanisms between nervous system,endocrine system and immune system,the disturbance handling approach for BIMS is proposed.Secondly,BIMC with monitoring and scheduling functions is designed and based on immune surveillance,disturbance detection and diagnosis mechanisms for BIMS are proposed.After that,for handling different types of disturbances,the strategies are proposed,and concrete implementation steps are given.Finally,comparative experiments are employed to verify the feasibility and efficiency of the proposed method.5? The BIMS simulation platform is developed.Firstly,according to the architecture of BIMS,a physical simulation platform is established,and quasi-hormone based communication protocols between BIMCs are designed.Then,a software simulation platform is constructed,and the main function modules of the platform are introducted.Finally,the feasibility and efficiency of the dynamic scheduling method of BIMS are verified through contrast experiments which are carried out on the simulation platform.